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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,883 ratings

About the Course

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics. Course Learning Outcomes: After completing the course learners will be able to... Describe the major methods of customer data collection used by companies and understand how this data can inform business decisions Describe the main tools used to predict customer behavior and identify the appropriate uses for each tool Communicate key ideas about customer analytics and how the field informs business decisions Communicate the history of customer analytics and latest best practices at top firms...

Top reviews

JS

Dec 5, 2016

Fantastic course. The instructors were great, the real world examples were very interesting, and the course materials were relevant to the daily tasks I face as a Data & Customer Insights Analyst.

AA

Apr 6, 2017

Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.

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2226 - 2250 of 2,534 Reviews for Customer Analytics

By Carmen B

•

Nov 6, 2023

Too short

By Adam D

•

Sep 27, 2021

Thank you

By Khurram S K

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Mar 26, 2016

Helpful!!

By Gourav S

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Aug 8, 2019

Good one

By PARK K B

•

Sep 10, 2020

success

By Joshua S

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Apr 30, 2019

Amazing

By Nazatul A B A R

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Nov 5, 2016

awesome

By Alvin L

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Mar 16, 2016

Great!

By Pablo H

•

Aug 1, 2024

great

By riyanshi j

•

Dec 2, 2021

nice

By waseem s

•

May 1, 2020

tttt

By yash t

•

Apr 28, 2020

nice

By 马雨禾

•

Nov 18, 2019

easy

By Yash D

•

Jun 1, 2019

good

By thulasiram .

•

Sep 11, 2016

good

By venky s

•

Mar 2, 2016

good

By M.Hymavathi P

•

Jan 17, 2018

g

By Govind R A

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Aug 1, 2017

F

By Javier C R

•

Jan 22, 2025

I really enjoyed the first modules. I found the information given and their applications really interesting and engaging. Modules 4 and 5 I was almost unable to pay attention to. Why? A couple of possibilities come to mind. Firstly, I felt like a lot of the information given was too specific to the cases discussed but gave no generalizable lessons other than what they said in the introduction. A second reason may be that, at a personal level, this matter is not as interesting to me, or practicable for my case and, since I couldn't see the use I just couldn't come to listen or find value in whatever I listened to. Still, the fact is that I made the effort to pay attention at the beginning, and after a couple of videos without finding anything worth annotating, I disconnected.

By Hemant M

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Jun 10, 2020

It was a good hands on basic Introduction for Customer analytics. However The introduction of descriptive,predictive and prescriptive analytics was mixed with marketing so the amount of time that could be dedicated to marketing was dedicated to introducing analytics. This course was more general knowledge and E-Commerce rather than marketing. I wanted the course to be more specific: How marketing theories help in building predictive models and What a marketing analyst knows that other data analysts don't know. If you are an absolute beginner in analytics, give it a try. Otherwise it may be too simple for you.

By James P

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Jul 1, 2020

The lectures cover material at a strategic-high level that is easy to understand and apply (very limited technical guidance). I do wish the lectures provided a bit more technical guidance, but I got value from the strategic delivery. The quizzes sometimes dove into a level of detail that the lectures really didn't prepare me for. They also covered content that wasn't really aligned with the themes of the lectures and didn't add much value to me to learn. I found this confusing and really did not find the quizzes to be a good representation of the material, or a very useful component of the courses.

By Christine A

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Nov 10, 2018

The information was useful - some material was review and some was new to me. I found that several of the quiz questions were not answerable based on the content presented in the lectures, PPT slides and additional reading material. This was very frustrating. I listed to the lectures and took copious notes. I reviewed the PPT slides and transcripts of the lectures. I read the additional material and took notes on it. But I had to take the quizzes multiple times in order to pass because some of the questions were not directly or indirectly related to the material.

By Courtney F

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Jul 21, 2020

The lecturer for Predictive Analytics had barely any slides so being successful meant following him completely through the video which I do not think he was as good as explaining certain concepts as the first and third professors were. The last quiz also had barely to do with the Applications content in the final week of lectures - looking through the slides after failing on the first attempt was pointless. Overall, I learned a lot but the teaching style of the second professor and the final quiz were not really indicative of what was taught during the session.

By Andreas D

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Nov 20, 2018

The general overview was good and a refresher what I was taught in uni 15 years ago. The material looks a bit old-fashioned and some slides look like the content was 'thrown together'.

I am missing going into details, particularly in calculating optimum price. The use of Excel Solver was not even mentioned to calculate the exact price, rather than determining it through a graph which is there or there about.

Also was missing kind of how to actually calculate CLV with Excel (I have seen a formula in the slides once, but that doesn't tell me much).

By Guilherme S

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Oct 7, 2015

You can see that the teachers now what they are talking about... but this seems to be a stripped and then again stripped version of a real class. Some courses at coursera are the entire university classes and you learn a lot from them. In those 5 weeks of this course there is not that much content, so you end up thinking... where can i get more information about each single topic mentioned. References to external resources are pretty weak so far. I've loved the classes, but it each "week" could be a course on its own, with much more content.